Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "159"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 159 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 91 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 89 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 159, Node N13:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459908 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 0.152494 22.412837 -1.515353 -1.016643 -1.490207 4.638152 -0.074339 60.673258 0.6400 0.5869 0.3780 nan nan
2459907 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 0.120013 28.555847 -1.617811 -0.942207 -1.313492 2.088518 -0.350012 22.448194 0.6352 0.5445 0.3670 nan nan
2459906 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - -0.000180 20.081255 -1.279207 -1.039358 -1.344523 6.083433 -0.411757 25.165954 0.6275 0.5857 0.3804 nan nan
2459905 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 0.075833 23.792732 -1.429550 -0.925242 -2.141755 10.523693 -0.255220 39.994573 0.6087 0.5408 0.3798 nan nan
2459904 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - -0.081539 30.176818 -1.305750 -0.672633 -1.017044 3.140048 0.000267 0.626796 0.6125 0.5057 0.3635 nan nan
2459903 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - -0.051009 16.356403 -1.514935 -1.156706 -1.419908 5.782532 0.104296 7.855364 0.6161 0.5928 0.3881 nan nan
2459902 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 0.149514 30.693492 -1.432132 -0.839542 -1.295293 5.007622 -0.084039 29.136345 0.6224 0.5339 0.3677 nan nan
2459901 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - -0.129639 27.865032 -1.685507 -1.076585 -1.353676 4.818527 -0.428075 46.028952 0.6407 0.5519 0.3725 nan nan
2459900 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - -0.474531 23.951372 -1.709360 -1.104126 -0.893384 8.940257 -0.443982 23.799981 0.5812 0.5113 0.3095 nan nan
2459898 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 0.020273 17.879625 -1.620917 -1.228749 -1.589464 7.950244 0.149782 5.509785 0.6316 0.5872 0.3789 nan nan
2459897 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 0.098663 28.352735 -1.267047 -0.761767 -1.225770 2.553900 -0.228039 1.825711 0.6299 0.5076 0.3726 nan nan
2459896 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - -0.092347 27.763910 -1.427469 -0.802202 -2.049235 2.918533 -0.001124 1.855945 0.6315 0.5101 0.3710 nan nan
2459895 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 0.120871 32.096685 -1.688926 -0.852633 -1.510431 2.446577 -1.890847 0.600901 0.7189 0.6008 0.2691 nan nan
2459894 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - -0.072346 32.999204 -1.262112 -0.793764 -1.412783 3.710095 -0.332471 6.688827 0.6329 0.5101 0.3663 nan nan
2459893 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - -0.270923 33.589366 -1.531754 -0.866083 -1.280226 3.176147 0.969814 4.065029 0.6422 0.5245 0.3632 nan nan
2459892 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - -0.120524 33.685419 -1.738048 -0.959369 -1.997663 2.341912 -0.271044 1.230786 0.6423 0.5213 0.3607 nan nan
2459891 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - -0.194498 31.140657 -1.410472 -0.833006 -2.025420 3.794921 -0.416722 0.392945 0.6358 0.5133 0.3629 nan nan
2459890 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - -0.030615 26.895369 -2.007642 -1.229685 -1.169369 8.410837 -0.351021 16.003204 0.6353 0.5328 0.3634 nan nan
2459889 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 0.017660 20.002378 -1.460974 -1.380889 -1.883275 10.977406 -0.014486 8.629977 0.6437 0.5935 0.3752 nan nan
2459888 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - -0.015359 24.921056 -1.781785 -1.094170 -1.603721 8.263861 -0.787364 5.930731 0.6591 0.5777 0.3639 nan nan
2459887 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - -0.041788 28.375917 -2.354668 -1.420304 -2.192718 2.863040 -0.205519 0.800181 0.6448 0.5377 0.3664 nan nan
2459886 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - -0.188308 33.547584 -1.648721 -0.916774 -2.282599 1.318885 -1.654820 -0.325543 0.7246 0.6269 0.3267 nan nan
2459885 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 2.275686 42.933182 10.777221 10.285617 1.307766 12.492708 4.483958 14.528052 0.6824 0.5703 0.3433 nan nan
2459884 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 1.172737 22.475564 2.467395 1.340175 0.739960 3.791275 -1.808848 7.191314 0.6769 0.5420 0.3765 nan nan
2459883 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 2.986347 29.334931 29.353912 25.687535 2.586344 6.289794 -2.886254 8.453725 0.6684 0.5416 0.3655 nan nan
2459882 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.069873 51.362316 34.488373 29.457915 2.795653 9.327820 -1.135393 11.850156 0.6668 0.5338 0.3722 nan nan
2459881 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 2.804564 29.406272 38.680092 32.975841 7.294977 18.393634 -2.387920 6.991780 0.7155 0.6136 0.3143 nan nan
2459880 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 2.950771 35.020742 30.938884 27.218199 1.977666 6.887256 -1.741270 15.800915 0.6680 0.5405 0.3747 nan nan
2459879 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 0.210771 19.948113 -0.090668 -1.073717 -2.029038 -0.095054 -1.357993 1.414326 0.6527 0.5326 0.3852 nan nan
2459878 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 3.068536 29.717045 37.865309 34.161660 3.635748 10.365673 -1.950188 37.857320 0.6637 0.5526 0.3800 nan nan
2459876 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459875 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 2.799543 37.100992 36.513614 30.772664 4.423075 12.709159 -0.704371 3.656526 0.6993 0.5701 0.3571 nan nan
2459874 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.173398 50.970943 18.769595 15.701239 5.695385 15.143364 -2.245827 -1.919733 0.6908 0.5332 0.3595 nan nan
2459873 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 2.579334 41.376401 25.322557 20.790276 1.829200 7.312243 -1.979578 -0.818346 0.6933 0.5261 0.3572 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 159: 2459908

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Temporal Discontinuties 60.673258 0.152494 22.412837 -1.515353 -1.016643 -1.490207 4.638152 -0.074339 60.673258

Antenna 159: 2459907

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 28.555847 28.555847 0.120013 -0.942207 -1.617811 2.088518 -1.313492 22.448194 -0.350012

Antenna 159: 2459906

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Temporal Discontinuties 25.165954 20.081255 -0.000180 -1.039358 -1.279207 6.083433 -1.344523 25.165954 -0.411757

Antenna 159: 2459905

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Temporal Discontinuties 39.994573 23.792732 0.075833 -0.925242 -1.429550 10.523693 -2.141755 39.994573 -0.255220

Antenna 159: 2459904

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 30.176818 30.176818 -0.081539 -0.672633 -1.305750 3.140048 -1.017044 0.626796 0.000267

Antenna 159: 2459903

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 16.356403 16.356403 -0.051009 -1.156706 -1.514935 5.782532 -1.419908 7.855364 0.104296

Antenna 159: 2459902

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 30.693492 0.149514 30.693492 -1.432132 -0.839542 -1.295293 5.007622 -0.084039 29.136345

Antenna 159: 2459901

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Temporal Discontinuties 46.028952 -0.129639 27.865032 -1.685507 -1.076585 -1.353676 4.818527 -0.428075 46.028952

Antenna 159: 2459900

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 23.951372 -0.474531 23.951372 -1.709360 -1.104126 -0.893384 8.940257 -0.443982 23.799981

Antenna 159: 2459898

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 17.879625 17.879625 0.020273 -1.228749 -1.620917 7.950244 -1.589464 5.509785 0.149782

Antenna 159: 2459897

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 28.352735 28.352735 0.098663 -0.761767 -1.267047 2.553900 -1.225770 1.825711 -0.228039

Antenna 159: 2459896

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 27.763910 27.763910 -0.092347 -0.802202 -1.427469 2.918533 -2.049235 1.855945 -0.001124

Antenna 159: 2459895

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 32.096685 0.120871 32.096685 -1.688926 -0.852633 -1.510431 2.446577 -1.890847 0.600901

Antenna 159: 2459894

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 32.999204 32.999204 -0.072346 -0.793764 -1.262112 3.710095 -1.412783 6.688827 -0.332471

Antenna 159: 2459893

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 33.589366 -0.270923 33.589366 -1.531754 -0.866083 -1.280226 3.176147 0.969814 4.065029

Antenna 159: 2459892

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 33.685419 33.685419 -0.120524 -0.959369 -1.738048 2.341912 -1.997663 1.230786 -0.271044

Antenna 159: 2459891

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 31.140657 -0.194498 31.140657 -1.410472 -0.833006 -2.025420 3.794921 -0.416722 0.392945

Antenna 159: 2459890

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 26.895369 26.895369 -0.030615 -1.229685 -2.007642 8.410837 -1.169369 16.003204 -0.351021

Antenna 159: 2459889

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 20.002378 0.017660 20.002378 -1.460974 -1.380889 -1.883275 10.977406 -0.014486 8.629977

Antenna 159: 2459888

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 24.921056 24.921056 -0.015359 -1.094170 -1.781785 8.263861 -1.603721 5.930731 -0.787364

Antenna 159: 2459887

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 28.375917 28.375917 -0.041788 -1.420304 -2.354668 2.863040 -2.192718 0.800181 -0.205519

Antenna 159: 2459886

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 33.547584 -0.188308 33.547584 -1.648721 -0.916774 -2.282599 1.318885 -1.654820 -0.325543

Antenna 159: 2459885

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 42.933182 42.933182 2.275686 10.285617 10.777221 12.492708 1.307766 14.528052 4.483958

Antenna 159: 2459884

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 22.475564 22.475564 1.172737 1.340175 2.467395 3.791275 0.739960 7.191314 -1.808848

Antenna 159: 2459883

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance ee Power 29.353912 29.334931 2.986347 25.687535 29.353912 6.289794 2.586344 8.453725 -2.886254

Antenna 159: 2459882

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 51.362316 51.362316 4.069873 29.457915 34.488373 9.327820 2.795653 11.850156 -1.135393

Antenna 159: 2459881

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance ee Power 38.680092 29.406272 2.804564 32.975841 38.680092 18.393634 7.294977 6.991780 -2.387920

Antenna 159: 2459880

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 35.020742 35.020742 2.950771 27.218199 30.938884 6.887256 1.977666 15.800915 -1.741270

Antenna 159: 2459879

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 19.948113 19.948113 0.210771 -1.073717 -0.090668 -0.095054 -2.029038 1.414326 -1.357993

Antenna 159: 2459878

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance ee Power 37.865309 29.717045 3.068536 34.161660 37.865309 10.365673 3.635748 37.857320 -1.950188

Antenna 159: 2459876

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 159: 2459875

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 37.100992 2.799543 37.100992 36.513614 30.772664 4.423075 12.709159 -0.704371 3.656526

Antenna 159: 2459874

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 50.970943 4.173398 50.970943 18.769595 15.701239 5.695385 15.143364 -2.245827 -1.919733

Antenna 159: 2459873

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
159 N13 RF_maintenance nn Shape 41.376401 2.579334 41.376401 25.322557 20.790276 1.829200 7.312243 -1.979578 -0.818346
In [ ]: